squice 0.6

Example library for scientific software.

SQUICE

Slicing through squares: visualise and interpolate numerical matrix data.

This is a python library with accompanying demonstration streamlit web application, to visualise and interpolate numerical matrix data.

This github site, streamlit application and pypi library has been created from the scientific application template app-lib-py.

Use as an application

To use the application simply go to the open source publicly hosted for free application squice@streamlit

Use as a python library

pip install squice

The documentation for the library is here: squice docs. Note the application squice@streamlit also shows demonstrations of how to use the library.

Use as a self-hosted web app

This can also be downloaded from docker and self-hosted.

# docker pull raea/squice
docker run --rm --name temp-name-p 8001:8501 raea/squice